Graduate Certificate in AI-Based Acoustic Environment
-- ViewingNowThe Graduate Certificate in AI-Based Acoustic Environment is a cutting-edge course that addresses the growing industry demand for professionals with expertise in artificial intelligence (AI) and acoustic environment analysis. This program equips learners with essential skills to design, develop, and implement AI-based acoustic solutions for various industries, including automotive, telecommunications, and smart cities.
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โข Unit 1: Introduction to Artificial Intelligence (AI) space;- AI basics, history, and applications.
โข Unit 2: Acoustic Signal Processing - Signal processing techniques, audio features, sound source separation.
โข Unit 3: AI-based Acoustic Modeling - Machine learning, deep learning, neural networks, acoustic modeling for speech recognition.
โข Unit 4: Natural Language Processing (NLP) - Text processing, language models, sentiment analysis, speech-to-text conversion.
โข Unit 5: AI-driven Speech Synthesis - Text-to-speech (TTS) systems, concatenative and parametric synthesis, neural TTS.
โข Unit 6: Intelligent Acoustic Environment Design - AI-based architectural acoustics, soundscapes, and ambient intelligence.
โข Unit 7: AI Ethics & Policy - Ethical considerations, regulatory frameworks, and social impact of AI-based acoustic environments.
โข Unit 8: AI System Evaluation - Performance metrics, benchmarking, and optimization strategies in AI-based acoustic systems.
โข Unit 9: AI Software Development - AI development frameworks, libraries, and tools for acoustic environment applications.
โข Unit 10: Final Project - Design, implementation, and evaluation of a capstone project in AI-based acoustic environments.
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